Coral

The platform was built specifically for knowledge workers in enterprise environments who need accurate, citation-backed answers drawn from their organization's proprietary data rather than from generic AI training knowledge.

This internal data grounding addresses the fundamental limitation of general AI assistants for enterprise use, where responses based on training data rather than company-specific information produce answers that do not reflect the organization's actual policies, products, processes, or data.

Coral connects to over 100 data sources including CRM systems, collaboration tools, databases, search infrastructure, and support systems, allowing it to draw answers from the full breadth of organizational knowledge repositories.

This broad integration coverage means Coral can provide answers that synthesize information from multiple internal systems that employees would otherwise need to search separately.

The 100-plus integrations ensure that Coral's knowledge base reflects the actual state of organizational data rather than a manually curated subset of it.

Hallucination mitigation is a core design principle of the platform, addressed by providing citations to the specific internal documents or external sources that support each response.

Rather than generating confident-sounding answers that may not reflect actual company data, Coral ties each response to verifiable sources that users can follow to confirm accuracy.